Really interesting piece! This sounds eerily like the Hang the DJ episode of Black Mirror. I see the value add for a product like this. Many dating apps seem to rely on appearance and interests when neither are certain indicators of a match. Scenario based testing could definitely allow for more nuance in how matches are made and take place in dating applications. I am confused as to why there are such strong differences in experiences for male and female users, especially in number of matches shown and “patience.”
I was a bit surprised that none of the matches have panned out though. This will be a cool use case to keep track of.
Thanks for the insightful article! I’m particularly interested in the wide variety of use cases. I assumed as I began reading that such technology would be most useful in the classroom, but the example of athletes shows that the applications must be limitless. There will definitely be more pushback if and when it begins to penetrate US schools.
Thanks for the interesting piece! As you mentioned, there is a definitely a space for this type of technology to cut through the fluff of some recruiting processes. There are also, of course, some concerns. From your piece, I learned that pymetrics puts together the games by having current top performers play the games then training the pymetrics for the company. I wonder if pymetrics takes into account the importance of having variance in hired employees. With some smaller companies, their top performers may be very similar in how they think and work. Training models to identify candidates based off of how they match with top performers could exclude innovative thinkers.
23andMe is a really interesting company as they’re navigated their value prop for users from being capable of suggesting alternatives to doctors, to connecting families. Their entire product seems to hinge on accesses such data and since uses 23andMe isn’t a necessity, I’m not sure how much users can take issue with the collection of data.
This is a really interesting example of an older, some might say dated, system gets a facelift through data. As mentioned, since the goal of the Met isn’t necessarily to generate tons of revenue, it poses an interesting opportunity. I wonder if other museums are doing this and would love to hear more about if the creators of the art (for those still alive) take issue with digital representations
Thanks for the post Kate! It exhibits a very interesting juxtaposition between the value of data to buyers and value that can be created for consumers. It really causes a problem for privacy advocates when the data collected is in such a personal setting, but does create delightful experiences.
This is a very interesting platform to remedy the disconnect between buyers and sellers. The value is evident on both sides. Buyers who normally would struggle to find channels for sale are now able to conduct sophisticated operations. On the other hand, buyers who want to buy refurbished clothing for price or environmental reasons have a secure way of doing so. I’m curious to see how ThredUp will compare to Rent the Runway which also aligns with a value proposition of low pricing and environmentalism. Moreover, how does ThredUp currently market themselves? Their success seems to be quite dependent on the trustworthiness and engagement of both buyers and sellers. Moreover, how they market themselves and cultivate the right culture is of crucial importance.
This is very interesting platform that I had not heard of. The value add for consumers and supplies alike is clear. Notably, suppliers with idle land will make 65% of the payment. As you mentioned, Tentrr uses modern methodologies such as working with influencers. This makes me fear that Tentrr may be a fad. How does the company cultivate longevity and loyalty? How does it position itself when compared to Airbnb, etc.? Are there safety concerns?
This is a really interesting article on Yelp, which has essentially taken over the review and discovery industry. As you mentioned, Yelp’s ability to cultivate authenticity and ease of vertical usage. The benefits for companies cannot be understated as the platform exposes businesses big and small to huge consumer markets. I would like to hear more about some new, unconventional alternatives to yelp such as Instagram accounts, or Buzzfeed videos like ‘Worth It.’ Additionally, the gamification of Yelp through programs like Yelp Elite. I believe initiatives like this keep many user coming back to Yelp. Is Yelp constrained to a particular demographic? or region? Yelp seems reliant on things such as Google Maps API. Could this create issues in the future? Yelp is also very susceptible to fake reviews? How can they protect the culture of authenticity.